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AWS Glue for Handling Metadata

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. It provides organizations with […].

Metadata 370
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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

We want to publish this data to Amazon DataZone as discoverable S3 data. Custom subscription workflow architecture diagram To implement the solution, we complete the following steps: As a data producer, publish an unstructured S3 based data asset as S3ObjectCollectionType to Amazon DataZone.

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Any type of contextual information, like device context, conversational context, and metadata, […]. Any type of contextual information, like device context, conversational context, and metadata, […].

Metadata 400
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Neptune.ai?—?A Metadata Store for MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A centralized location for research and production teams to govern models and experiments by storing metadata throughout the ML model lifecycle. A Metadata Store for MLOps appeared first on Analytics Vidhya. Keeping track of […]. The post Neptune.ai?—?A

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The state of data quality in 2020

O'Reilly on Data

Just 20% of organizations publish data provenance and data lineage. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for.

Metadata 124
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RDF-Star: Metadata Complexity Simplified

Ontotext

Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. To be able to automate these operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics , that employ diverse metadata sourced from different systems. Metadata about Relationships Come in Handy.

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